Overview

Dataset statistics

Number of variables22
Number of observations8000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory176.0 B

Variable types

Numeric21
Categorical1

Warnings

MIN is highly correlated with PTSHigh correlation
PTS is highly correlated with MIN and 2 other fieldsHigh correlation
FGM is highly correlated with PTS and 1 other fieldsHigh correlation
FGA is highly correlated with PTS and 1 other fieldsHigh correlation
3P_Made is highly correlated with 3PAHigh correlation
3PA is highly correlated with 3P_MadeHigh correlation
FTM is highly correlated with FTAHigh correlation
FTA is highly correlated with FTMHigh correlation
DREB is highly correlated with REBHigh correlation
REB is highly correlated with DREBHigh correlation
Id_old is uniformly distributed Uniform
Id is uniformly distributed Uniform
Id_old has unique values Unique
Id has unique values Unique
3P_Made has 673 (8.4%) zeros Zeros
3PA has 220 (2.8%) zeros Zeros
BLK has 619 (7.7%) zeros Zeros

Reproduction

Analysis started2021-02-22 09:41:29.692004
Analysis finished2021-02-22 09:42:29.293509
Duration59.6 seconds
Software versionpandas-profiling v2.10.0
Download configurationconfig.yaml

Variables

Id_old
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct8000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6856.971
Minimum4
Maximum13798
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:29.382538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile691.95
Q13413.75
median6787.5
Q310299.25
95-th percentile13086.25
Maximum13798
Range13794
Interquartile range (IQR)6885.5

Descriptive statistics

Standard deviation3977.447579
Coefficient of variation (CV)0.5800589763
Kurtosis-1.197516482
Mean6856.971
Median Absolute Deviation (MAD)3432
Skewness0.01615615495
Sum54855768
Variance15820089.24
MonotocityNot monotonic
2021-02-22T20:42:29.509541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40981
 
< 0.1%
47911
 
< 0.1%
7171
 
< 0.1%
130031
 
< 0.1%
89051
 
< 0.1%
109521
 
< 0.1%
48071
 
< 0.1%
7091
 
< 0.1%
27561
 
< 0.1%
129951
 
< 0.1%
Other values (7990)7990
99.9%
ValueCountFrequency (%)
41
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
137981
< 0.1%
137971
< 0.1%
137961
< 0.1%
137951
< 0.1%
137941
< 0.1%

Id
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct8000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7798.5
Minimum3799
Maximum11798
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:29.643519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3799
5-th percentile4198.95
Q15798.75
median7798.5
Q39798.25
95-th percentile11398.05
Maximum11798
Range7999
Interquartile range (IQR)3999.5

Descriptive statistics

Standard deviation2309.54541
Coefficient of variation (CV)0.2961525178
Kurtosis-1.2
Mean7798.5
Median Absolute Deviation (MAD)2000
Skewness0
Sum62388000
Variance5334000
MonotocityStrictly increasing
2021-02-22T20:42:29.772542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40981
 
< 0.1%
68061
 
< 0.1%
47831
 
< 0.1%
68301
 
< 0.1%
88731
 
< 0.1%
109201
 
< 0.1%
47751
 
< 0.1%
68221
 
< 0.1%
88651
 
< 0.1%
109121
 
< 0.1%
Other values (7990)7990
99.9%
ValueCountFrequency (%)
37991
< 0.1%
38001
< 0.1%
38011
< 0.1%
38021
< 0.1%
38031
< 0.1%
ValueCountFrequency (%)
117981
< 0.1%
117971
< 0.1%
117961
< 0.1%
117951
< 0.1%
117941
< 0.1%

GP
Real number (ℝ)

Distinct119
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.777875
Minimum-8
Maximum123
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:29.919508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-8
5-th percentile35
Q151
median63
Q374
95-th percentile91
Maximum123
Range131
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.11877382
Coefficient of variation (CV)0.2726880102
Kurtosis0.07600082775
Mean62.777875
Median Absolute Deviation (MAD)11
Skewness-0.01907776945
Sum502223
Variance293.052417
MonotocityNot monotonic
2021-02-22T20:42:30.061507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59206
 
2.6%
62196
 
2.5%
60195
 
2.4%
64194
 
2.4%
63189
 
2.4%
53189
 
2.4%
69185
 
2.3%
66183
 
2.3%
65177
 
2.2%
61175
 
2.2%
Other values (109)6111
76.4%
ValueCountFrequency (%)
-81
< 0.1%
-31
< 0.1%
11
< 0.1%
31
< 0.1%
41
< 0.1%
ValueCountFrequency (%)
1231
< 0.1%
1212
< 0.1%
1201
< 0.1%
1191
< 0.1%
1171
< 0.1%

MIN
Real number (ℝ≥0)

HIGH CORRELATION

Distinct479
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5766625
Minimum2.9
Maximum73.8
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:30.200507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile7.2
Q112
median16.8
Q323.5
95-th percentile35.3
Maximum73.8
Range70.9
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.93526281
Coefficient of variation (CV)0.4809939788
Kurtosis1.775214034
Mean18.5766625
Median Absolute Deviation (MAD)5.5
Skewness1.100555407
Sum148613.3
Variance79.83892148
MonotocityNot monotonic
2021-02-22T20:42:30.337510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.657
 
0.7%
11.754
 
0.7%
17.653
 
0.7%
11.652
 
0.7%
16.452
 
0.7%
1551
 
0.6%
15.151
 
0.6%
15.450
 
0.6%
12.950
 
0.6%
1249
 
0.6%
Other values (469)7481
93.5%
ValueCountFrequency (%)
2.91
 
< 0.1%
3.32
< 0.1%
3.41
 
< 0.1%
3.63
< 0.1%
3.72
< 0.1%
ValueCountFrequency (%)
73.81
< 0.1%
67.41
< 0.1%
66.81
< 0.1%
66.31
< 0.1%
64.81
< 0.1%

PTS
Real number (ℝ≥0)

HIGH CORRELATION

Distinct253
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2670875
Minimum0.8
Maximum34.2
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:30.478507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile2
Q14.1
median6.3
Q39.5
95-th percentile15.6
Maximum34.2
Range33.4
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation4.3187321
Coefficient of variation (CV)0.5942865143
Kurtosis2.345092236
Mean7.2670875
Median Absolute Deviation (MAD)2.6
Skewness1.270330081
Sum58136.7
Variance18.65144695
MonotocityNot monotonic
2021-02-22T20:42:30.616507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.2102
 
1.3%
3.6102
 
1.3%
5.1101
 
1.3%
5.598
 
1.2%
4.498
 
1.2%
3.596
 
1.2%
5.396
 
1.2%
4.995
 
1.2%
3.895
 
1.2%
3.995
 
1.2%
Other values (243)7022
87.8%
ValueCountFrequency (%)
0.84
 
0.1%
0.910
0.1%
120
0.2%
1.117
0.2%
1.219
0.2%
ValueCountFrequency (%)
34.21
< 0.1%
32.11
< 0.1%
321
< 0.1%
31.91
< 0.1%
30.82
< 0.1%

FGM
Real number (ℝ≥0)

HIGH CORRELATION

Distinct111
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8070375
Minimum0.3
Maximum13.1
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:30.758507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.6
median2.4
Q33.7
95-th percentile6.1
Maximum13.1
Range12.8
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.693373161
Coefficient of variation (CV)0.6032598998
Kurtosis2.304172965
Mean2.8070375
Median Absolute Deviation (MAD)1
Skewness1.28518336
Sum22456.3
Variance2.867512663
MonotocityNot monotonic
2021-02-22T20:42:30.903541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8271
 
3.4%
1.4248
 
3.1%
1.3241
 
3.0%
1.5239
 
3.0%
2.1235
 
2.9%
1.6230
 
2.9%
1.2228
 
2.9%
2.2224
 
2.8%
1.7223
 
2.8%
1.9217
 
2.7%
Other values (101)5644
70.5%
ValueCountFrequency (%)
0.36
 
0.1%
0.449
 
0.6%
0.572
0.9%
0.6108
1.4%
0.7125
1.6%
ValueCountFrequency (%)
13.11
< 0.1%
12.81
< 0.1%
122
< 0.1%
11.91
< 0.1%
11.81
< 0.1%

FGA
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2312125
Minimum0.8
Maximum28.9
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:31.030540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.9
Q13.6
median5.4
Q38.1
95-th percentile13.2
Maximum28.9
Range28.1
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.584558643
Coefficient of variation (CV)0.5752586102
Kurtosis2.244035555
Mean6.2312125
Median Absolute Deviation (MAD)2.1
Skewness1.26627164
Sum49849.7
Variance12.84906066
MonotocityNot monotonic
2021-02-22T20:42:31.157510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.6137
 
1.7%
3.2134
 
1.7%
4.6124
 
1.6%
3.4121
 
1.5%
4.7117
 
1.5%
3.3116
 
1.5%
4.9116
 
1.5%
3.5115
 
1.4%
3.8113
 
1.4%
4.2113
 
1.4%
Other values (202)6794
84.9%
ValueCountFrequency (%)
0.81
 
< 0.1%
0.96
 
0.1%
113
0.2%
1.132
0.4%
1.225
0.3%
ValueCountFrequency (%)
28.91
< 0.1%
28.61
< 0.1%
27.11
< 0.1%
25.81
< 0.1%
25.71
< 0.1%

FG%
Real number (ℝ≥0)

Distinct363
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.6089
Minimum21.3
Maximum67.2
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:31.288540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21.3
5-th percentile34.6
Q140.4
median44.4
Q348.7
95-th percentile55
Maximum67.2
Range45.9
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation6.155452826
Coefficient of variation (CV)0.1379871018
Kurtosis-0.01650775319
Mean44.6089
Median Absolute Deviation (MAD)4.1
Skewness0.1428357775
Sum356871.2
Variance37.88959949
MonotocityNot monotonic
2021-02-22T20:42:31.413095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.972
 
0.9%
43.970
 
0.9%
42.965
 
0.8%
4463
 
0.8%
44.762
 
0.8%
45.559
 
0.7%
44.459
 
0.7%
43.259
 
0.7%
4659
 
0.7%
40.959
 
0.7%
Other values (353)7373
92.2%
ValueCountFrequency (%)
21.31
< 0.1%
25.61
< 0.1%
25.71
< 0.1%
25.91
< 0.1%
261
< 0.1%
ValueCountFrequency (%)
67.21
< 0.1%
65.32
< 0.1%
65.11
< 0.1%
651
< 0.1%
64.71
< 0.1%

3P_Made
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.264525
Minimum-1.1
Maximum1.7
Zeros673
Zeros (%)8.4%
Memory size62.6 KiB
2021-02-22T20:42:31.519106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1.1
5-th percentile-0.4
Q10
median0.3
Q30.5
95-th percentile0.9
Maximum1.7
Range2.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.3840930425
Coefficient of variation (CV)1.452010368
Kurtosis-0.03223809857
Mean0.264525
Median Absolute Deviation (MAD)0.3
Skewness0.01476425971
Sum2116.2
Variance0.1475274653
MonotocityNot monotonic
2021-02-22T20:42:31.613139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.3870
10.9%
0.2821
10.3%
0.1770
9.6%
0.4742
9.3%
0.5677
8.5%
0673
8.4%
0.6543
 
6.8%
-0.1526
 
6.6%
0.7432
 
5.4%
-0.2396
 
5.0%
Other values (18)1550
19.4%
ValueCountFrequency (%)
-1.12
 
< 0.1%
-0.911
 
0.1%
-0.819
 
0.2%
-0.737
0.5%
-0.672
0.9%
ValueCountFrequency (%)
1.71
 
< 0.1%
1.62
 
< 0.1%
1.51
 
< 0.1%
1.414
0.2%
1.324
0.3%

3PA
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct75
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8165625
Minimum-3.1
Maximum4.7
Zeros220
Zeros (%)2.8%
Memory size62.6 KiB
2021-02-22T20:42:31.725424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-3.1
5-th percentile-0.9
Q10.1
median0.8
Q31.5
95-th percentile2.6
Maximum4.7
Range7.8
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.06096425
Coefficient of variation (CV)1.299305625
Kurtosis-0.01533354298
Mean0.8165625
Median Absolute Deviation (MAD)0.7
Skewness0.03199103225
Sum6532.5
Variance1.125645139
MonotocityNot monotonic
2021-02-22T20:42:31.847543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9326
 
4.1%
0.5323
 
4.0%
0.8305
 
3.8%
1.1292
 
3.6%
1.2286
 
3.6%
1283
 
3.5%
0.7281
 
3.5%
0.3277
 
3.5%
0.2270
 
3.4%
0.6270
 
3.4%
Other values (65)5087
63.6%
ValueCountFrequency (%)
-3.11
 
< 0.1%
-2.61
 
< 0.1%
-2.51
 
< 0.1%
-2.47
0.1%
-2.36
0.1%
ValueCountFrequency (%)
4.71
< 0.1%
4.61
< 0.1%
4.51
< 0.1%
4.41
< 0.1%
4.32
< 0.1%

3P%
Real number (ℝ)

Distinct826
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5837
Minimum-38.5
Maximum82.1
Zeros7
Zeros (%)0.1%
Memory size62.6 KiB
2021-02-22T20:42:31.974676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-38.5
5-th percentile-6.4
Q18.4
median19.5
Q330.6
95-th percentile46.4
Maximum82.1
Range120.6
Interquartile range (IQR)22.2

Descriptive statistics

Standard deviation16.00315514
Coefficient of variation (CV)0.81716709
Kurtosis-0.0917964955
Mean19.5837
Median Absolute Deviation (MAD)11.1
Skewness0.03827711547
Sum156669.6
Variance256.1009744
MonotocityNot monotonic
2021-02-22T20:42:32.099111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.129
 
0.4%
26.327
 
0.3%
2427
 
0.3%
12.627
 
0.3%
16.227
 
0.3%
18.727
 
0.3%
14.427
 
0.3%
25.227
 
0.3%
22.627
 
0.3%
18.226
 
0.3%
Other values (816)7729
96.6%
ValueCountFrequency (%)
-38.51
< 0.1%
-33.41
< 0.1%
-31.21
< 0.1%
-311
< 0.1%
-30.41
< 0.1%
ValueCountFrequency (%)
82.11
< 0.1%
76.11
< 0.1%
73.71
< 0.1%
72.81
< 0.1%
72.61
< 0.1%

FTM
Real number (ℝ≥0)

HIGH CORRELATION

Distinct68
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.392525
Minimum0
Maximum8.1
Zeros15
Zeros (%)0.2%
Memory size62.6 KiB
2021-02-22T20:42:32.228221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.7
median1.2
Q31.9
95-th percentile3.1
Maximum8.1
Range8.1
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9261527111
Coefficient of variation (CV)0.6650887496
Kurtosis2.885435548
Mean1.392525
Median Absolute Deviation (MAD)0.6
Skewness1.333701383
Sum11140.2
Variance0.8577588442
MonotocityNot monotonic
2021-02-22T20:42:32.359220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8431
 
5.4%
0.6430
 
5.4%
0.7417
 
5.2%
0.9415
 
5.2%
1412
 
5.1%
1.1399
 
5.0%
0.5377
 
4.7%
1.2369
 
4.6%
0.4340
 
4.2%
1.3327
 
4.1%
Other values (58)4083
51.0%
ValueCountFrequency (%)
015
 
0.2%
0.1102
 
1.3%
0.2219
2.7%
0.3278
3.5%
0.4340
4.2%
ValueCountFrequency (%)
8.11
< 0.1%
7.61
< 0.1%
7.21
< 0.1%
71
< 0.1%
6.82
< 0.1%

FTA
Real number (ℝ≥0)

HIGH CORRELATION

Distinct86
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9477875
Minimum0
Maximum11.1
Zeros7
Zeros (%)0.1%
Memory size62.6 KiB
2021-02-22T20:42:32.526218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q11
median1.7
Q32.6
95-th percentile4.3
Maximum11.1
Range11.1
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.252352248
Coefficient of variation (CV)0.642961436
Kurtosis2.662420403
Mean1.9477875
Median Absolute Deviation (MAD)0.8
Skewness1.285804368
Sum15582.3
Variance1.568386153
MonotocityNot monotonic
2021-02-22T20:42:32.662216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9342
 
4.3%
1.6315
 
3.9%
1.2314
 
3.9%
1.3304
 
3.8%
1.4302
 
3.8%
1.1294
 
3.7%
1.5292
 
3.6%
0.8276
 
3.5%
1271
 
3.4%
1.8259
 
3.2%
Other values (76)5031
62.9%
ValueCountFrequency (%)
07
 
0.1%
0.138
 
0.5%
0.293
1.2%
0.3145
1.8%
0.4188
2.4%
ValueCountFrequency (%)
11.11
< 0.1%
9.71
< 0.1%
9.61
< 0.1%
9.41
< 0.1%
8.71
< 0.1%

FT%
Real number (ℝ)

Distinct624
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.365825
Minimum-13.3
Maximum168.9
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:32.811215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-13.3
5-th percentile54.9
Q165
median71.4
Q377.5
95-th percentile88.4
Maximum168.9
Range182.2
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation10.43044696
Coefficient of variation (CV)0.146154647
Kurtosis3.029964854
Mean71.365825
Median Absolute Deviation (MAD)6.2
Skewness0.08230046805
Sum570926.6
Variance108.7942238
MonotocityNot monotonic
2021-02-22T20:42:32.949217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.249
 
0.6%
68.747
 
0.6%
72.945
 
0.6%
76.144
 
0.5%
6843
 
0.5%
69.443
 
0.5%
69.743
 
0.5%
71.542
 
0.5%
74.741
 
0.5%
7141
 
0.5%
Other values (614)7562
94.5%
ValueCountFrequency (%)
-13.31
< 0.1%
13.51
< 0.1%
14.71
< 0.1%
17.21
< 0.1%
18.31
< 0.1%
ValueCountFrequency (%)
168.91
< 0.1%
132.51
< 0.1%
125.41
< 0.1%
124.91
< 0.1%
119.71
< 0.1%

OREB
Real number (ℝ≥0)

Distinct53
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0778375
Minimum0
Maximum5.5
Zeros70
Zeros (%)0.9%
Memory size62.6 KiB
2021-02-22T20:42:33.074255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.9
Q31.5
95-th percentile2.6
Maximum5.5
Range5.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7856699264
Coefficient of variation (CV)0.7289317048
Kurtosis2.16637344
Mean1.0778375
Median Absolute Deviation (MAD)0.5
Skewness1.3163425
Sum8622.7
Variance0.6172772332
MonotocityNot monotonic
2021-02-22T20:42:33.568294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6551
 
6.9%
0.5532
 
6.7%
0.4505
 
6.3%
0.7505
 
6.3%
0.8472
 
5.9%
0.9466
 
5.8%
0.3455
 
5.7%
0.2409
 
5.1%
1407
 
5.1%
1.1359
 
4.5%
Other values (43)3339
41.7%
ValueCountFrequency (%)
070
 
0.9%
0.1293
3.7%
0.2409
5.1%
0.3455
5.7%
0.4505
6.3%
ValueCountFrequency (%)
5.51
 
< 0.1%
5.41
 
< 0.1%
5.31
 
< 0.1%
4.93
< 0.1%
4.82
< 0.1%

DREB
Real number (ℝ≥0)

HIGH CORRELATION

Distinct93
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1685
Minimum0.2
Maximum11
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:33.708263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.5
Q11.1
median1.9
Q32.9
95-th percentile4.805
Maximum11
Range10.8
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.392223953
Coefficient of variation (CV)0.6420216524
Kurtosis2.797100076
Mean2.1685
Median Absolute Deviation (MAD)0.8
Skewness1.388891057
Sum17348
Variance1.938287536
MonotocityNot monotonic
2021-02-22T20:42:33.836263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1322
 
4.0%
1.4313
 
3.9%
1.3292
 
3.6%
0.9291
 
3.6%
1.2289
 
3.6%
1.5289
 
3.6%
1.1282
 
3.5%
1.8266
 
3.3%
1.7264
 
3.3%
1.6255
 
3.2%
Other values (83)5137
64.2%
ValueCountFrequency (%)
0.224
 
0.3%
0.387
1.1%
0.4148
1.8%
0.5175
2.2%
0.6209
2.6%
ValueCountFrequency (%)
111
< 0.1%
10.81
< 0.1%
101
< 0.1%
9.82
< 0.1%
9.62
< 0.1%

REB
Real number (ℝ≥0)

HIGH CORRELATION

Distinct131
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2453
Minimum0.3
Maximum15.9
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:33.969295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.7
median2.8
Q34.3
95-th percentile7.3
Maximum15.9
Range15.6
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation2.085154405
Coefficient of variation (CV)0.6425151466
Kurtosis2.359445451
Mean3.2453
Median Absolute Deviation (MAD)1.2
Skewness1.332728372
Sum25962.4
Variance4.347868894
MonotocityNot monotonic
2021-02-22T20:42:34.097301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8208
 
2.6%
1.9203
 
2.5%
1.4200
 
2.5%
1.5199
 
2.5%
2.1195
 
2.4%
2.2194
 
2.4%
1.7194
 
2.4%
2.6191
 
2.4%
1.2189
 
2.4%
2.5187
 
2.3%
Other values (121)6040
75.5%
ValueCountFrequency (%)
0.314
 
0.2%
0.454
0.7%
0.562
0.8%
0.6105
1.3%
0.7123
1.5%
ValueCountFrequency (%)
15.91
< 0.1%
14.61
< 0.1%
13.91
< 0.1%
13.81
< 0.1%
13.71
< 0.1%

AST
Real number (ℝ≥0)

Distinct95
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6245125
Minimum0
Maximum12.8
Zeros60
Zeros (%)0.8%
Memory size62.6 KiB
2021-02-22T20:42:34.230264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.7
median1.3
Q32.2
95-th percentile4.3
Maximum12.8
Range12.8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.355985887
Coefficient of variation (CV)0.8347032642
Kurtosis4.930922317
Mean1.6245125
Median Absolute Deviation (MAD)0.7
Skewness1.774748327
Sum12996.1
Variance1.838697725
MonotocityNot monotonic
2021-02-22T20:42:34.365264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7374
 
4.7%
0.4361
 
4.5%
0.5359
 
4.5%
0.9341
 
4.3%
0.3337
 
4.2%
0.6334
 
4.2%
0.8331
 
4.1%
1308
 
3.9%
1.2303
 
3.8%
0.2301
 
3.8%
Other values (85)4651
58.1%
ValueCountFrequency (%)
060
 
0.8%
0.1234
2.9%
0.2301
3.8%
0.3337
4.2%
0.4361
4.5%
ValueCountFrequency (%)
12.81
< 0.1%
11.91
< 0.1%
10.71
< 0.1%
10.52
< 0.1%
10.11
< 0.1%

STL
Real number (ℝ≥0)

Distinct30
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6486875
Minimum0
Maximum3.6
Zeros42
Zeros (%)0.5%
Memory size62.6 KiB
2021-02-22T20:42:34.491265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.3
median0.6
Q30.9
95-th percentile1.4
Maximum3.6
Range3.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.407626112
Coefficient of variation (CV)0.6283859517
Kurtosis2.197415457
Mean0.6486875
Median Absolute Deviation (MAD)0.3
Skewness1.209019921
Sum5189.5
Variance0.1661590472
MonotocityNot monotonic
2021-02-22T20:42:34.594266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.4931
11.6%
0.5900
11.2%
0.3899
11.2%
0.6839
10.5%
0.7712
8.9%
0.2684
8.6%
0.8561
7.0%
0.9464
 
5.8%
1387
 
4.8%
0.1382
 
4.8%
Other values (20)1241
15.5%
ValueCountFrequency (%)
042
 
0.5%
0.1382
4.8%
0.2684
8.6%
0.3899
11.2%
0.4931
11.6%
ValueCountFrequency (%)
3.61
 
< 0.1%
3.51
 
< 0.1%
2.93
< 0.1%
2.61
 
< 0.1%
2.54
0.1%

BLK
Real number (ℝ)

ZEROS

Distinct108
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2452125
Minimum-17.9
Maximum18.9
Zeros619
Zeros (%)7.7%
Memory size62.6 KiB
2021-02-22T20:42:34.726303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-17.9
5-th percentile-0.3
Q10.1
median0.2
Q30.4
95-th percentile0.8
Maximum18.9
Range36.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.8210367486
Coefficient of variation (CV)3.348266294
Kurtosis204.3956834
Mean0.2452125
Median Absolute Deviation (MAD)0.1
Skewness0.4147105622
Sum1961.7
Variance0.6741013425
MonotocityNot monotonic
2021-02-22T20:42:34.850262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.21551
19.4%
0.31348
16.9%
0.11199
15.0%
0.4806
10.1%
0619
 
7.7%
0.5497
 
6.2%
-0.1343
 
4.3%
0.6271
 
3.4%
-0.2215
 
2.7%
0.7178
 
2.2%
Other values (98)973
12.2%
ValueCountFrequency (%)
-17.91
< 0.1%
-17.51
< 0.1%
-15.71
< 0.1%
-15.41
< 0.1%
-15.21
< 0.1%
ValueCountFrequency (%)
18.91
< 0.1%
15.11
< 0.1%
14.71
< 0.1%
14.51
< 0.1%
12.91
< 0.1%

TOV
Real number (ℝ≥0)

Distinct51
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2577625
Minimum0.1
Maximum5.3
Zeros0
Zeros (%)0.0%
Memory size62.6 KiB
2021-02-22T20:42:34.976300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q10.7
median1.1
Q31.6
95-th percentile2.7
Maximum5.3
Range5.2
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.7232704429
Coefficient of variation (CV)0.5750453229
Kurtosis2.05008296
Mean1.2577625
Median Absolute Deviation (MAD)0.4
Skewness1.208849456
Sum10062.1
Variance0.5231201336
MonotocityNot monotonic
2021-02-22T20:42:35.129295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9556
 
7.0%
0.8528
 
6.6%
0.7520
 
6.5%
1510
 
6.4%
1.2475
 
5.9%
1.1461
 
5.8%
0.6453
 
5.7%
1.3446
 
5.6%
0.5433
 
5.4%
1.5365
 
4.6%
Other values (41)3253
40.7%
ValueCountFrequency (%)
0.125
 
0.3%
0.2114
 
1.4%
0.3235
2.9%
0.4311
3.9%
0.5433
5.4%
ValueCountFrequency (%)
5.31
 
< 0.1%
5.21
 
< 0.1%
5.12
< 0.1%
4.94
0.1%
4.81
 
< 0.1%

TARGET_5Yrs
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
1
6669 
0
1331 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters8000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
16669
83.4%
01331
 
16.6%
2021-02-22T20:42:35.339262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-02-22T20:42:35.414264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
16669
83.4%
01331
 
16.6%

Most occurring characters

ValueCountFrequency (%)
16669
83.4%
01331
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8000
100.0%

Most frequent character per category

ValueCountFrequency (%)
16669
83.4%
01331
 
16.6%

Most occurring scripts

ValueCountFrequency (%)
Common8000
100.0%

Most frequent character per script

ValueCountFrequency (%)
16669
83.4%
01331
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII8000
100.0%

Most frequent character per block

ValueCountFrequency (%)
16669
83.4%
01331
 
16.6%

Interactions

2021-02-22T20:41:40.960502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.138018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.265019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.410016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.540018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.665022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.795024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:41.923049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.068018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.211021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.356022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.478021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.592020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.720019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.841021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:42.966021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.097021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.220022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.431021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.561022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.677023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.827808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:43.965079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.093222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.227364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.356364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.483368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.602365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.728363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.862363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:44.993951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.130482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.245484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.371484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.489483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.605484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.731484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.855483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:45.985493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.114482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.235486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.354485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.478484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.597486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.715485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.826483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:46.935489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.043483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.158484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.274485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.385498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.594484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.701484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.828485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:47.949486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.070486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.186484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.300485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.418485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.533484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.641481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.756483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.875482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:48.986492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.105486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.225489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.342480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.446484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.558483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.674514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.794517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:49.914482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.025485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.140488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.256495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.368497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.481497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.606499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.746499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.864498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:50.971494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.096497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.220529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.335498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.450497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.561497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.681547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.790572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:51.904609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.032609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.146664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.258695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.480733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.593699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.697732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.806794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:52.918827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.025832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.136461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.249461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.354460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.462461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.574953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.680985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.786953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.895985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:53.998986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.098976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.201955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.324975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.445973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.571972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.681005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.789001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.892014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:54.992972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.103992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.206002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.314971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.420001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.520000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.632017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.742048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.847017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:55.955050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.062047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.165047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.266017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.368048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.477048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.582039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.686049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.787043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.893050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:56.991049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.094038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.199048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.303047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.410148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.514149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.617145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.721157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:57.826149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.088118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.189146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.289146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.399115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.513116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.625129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.732159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.831130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:58.939159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.036159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.136160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.231133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.326178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.429176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.525176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.626175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.725174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.822139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:41:59.934142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.051174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.156169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.262186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.367155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.470185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.575185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.674185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.790155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:00.896151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.005152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.104151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.234155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.345168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.452165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.573682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.688679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.797719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:01.903714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.003681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.119684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.256682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.408685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.521715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.635680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.744713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.857678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:02.981683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.124681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.252727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.366714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.474682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.588684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.694716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.804719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:03.919723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.028724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.143677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.256309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.365309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.475308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.588277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.692277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:04.799278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.084317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.189275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.294341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.395341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.501357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.613333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.720408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.823480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:05.935455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.037451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.138448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.247448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.353482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.459480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.567481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.672446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.788483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:06.906525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.015491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.133604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.245589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.356617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.465584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.571627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.680632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.793594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:07.907625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.013626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.126714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.233725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.341723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.454535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.562519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.676520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.789527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:08.896592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.003634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.111638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.210669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.312672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.412679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.511673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.609639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.705736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.806736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:09.910747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.014758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.116762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.218758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.317759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.415738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.518770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.622742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.725741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.838775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:10.950737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.064771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.179950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.286916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.396949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.503965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.612091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.719124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.821124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:11.929089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.044090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.150156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.260154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.363154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.467153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.571166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.682167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.788346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:12.899358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.011333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.327402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.429402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.537400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.639380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.740414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.844375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:13.942381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.051410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.148415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.253421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.358454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.461452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.565421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.662421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.768462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.868515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:14.973428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.074432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.178433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.284463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.384472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.487437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.597612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.700610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.804621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:15.908751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.010752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.111767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.209809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.315808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.419808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.522808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.625778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.724777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.829778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:16.931299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.036820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.136821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.241343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.344401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.442384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.555383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.676384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.786383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:17.900381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.014416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.124382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.233416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.340575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.450575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.563588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.673556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.790556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:18.897584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.012584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.125113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.234114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.343113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.455633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.568633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.677631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.789659image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:19.899642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.000677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.106675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.212644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.315679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.416674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.516675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.619643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.729639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.837638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:20.953639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.076639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.195640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.301639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.407639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.519639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.629647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.737672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.837675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:21.951672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.068675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.182186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.293215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.402256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.516256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.626266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.729298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.835301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:22.950298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.059301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.171267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.531352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.642344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.750334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.863354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:23.973398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.082426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.192441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.300439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.411438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.525407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.632440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.742444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.849404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:24.960439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.071484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.175588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.287560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.412588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.526690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.638673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.742694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.859748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:25.966712image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.073364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.194408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.303377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.414407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.521420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.628464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.737453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.838433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:26.941463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.044465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.146535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.246538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.342580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.444670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.549638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.651640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.756673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.854672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:27.960673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:28.059713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:28.158072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:28.265620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:28.367403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-02-22T20:42:28.471399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2021-02-22T20:42:35.523294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-02-22T20:42:35.755269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-02-22T20:42:35.992262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-02-22T20:42:36.230845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-02-22T20:42:28.754472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-02-22T20:42:29.135491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

Id_oldIdGPMINPTSFGMFGAFG%3P_Made3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOVTARGET_5Yrs
01055637998024.37.83.06.445.70.10.322.62.02.972.12.22.03.83.21.10.21.61
1534238007521.810.54.27.955.1-0.3-1.034.92.43.667.83.63.76.60.70.50.61.41
2571638018519.14.51.94.542.80.41.234.30.40.675.70.61.82.40.80.40.20.61
31379038026319.18.23.56.752.50.30.823.70.91.566.90.82.03.01.80.40.11.91
4547038036317.83.71.73.450.80.51.413.70.20.554.02.42.74.90.40.40.60.71
5196138048820.08.83.78.743.6-0.2-0.56.92.02.875.11.82.94.71.80.40.31.11
6267738057020.67.03.25.458.90.1-0.1-3.60.71.456.72.94.67.60.60.40.71.21
71172238065717.65.41.74.737.20.92.833.21.41.878.30.81.72.60.40.60.60.31
8614838074626.59.33.17.244.00.61.727.52.02.382.11.32.84.11.80.70.61.71
9304038086433.416.96.411.359.00.31.1-13.03.74.974.93.48.011.90.80.42.52.41

Last rows

Id_oldIdGPMINPTSFGMFGAFG%3P_Made3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOVTARGET_5Yrs
799013494117896310.64.81.83.254.6-0.3-0.8-12.31.31.781.92.32.24.00.00.30.40.31
79917895117906018.38.93.87.548.4-0.2-0.5-6.41.52.362.83.43.16.40.20.30.60.71
7992563211791457.12.00.92.143.7-0.2-0.423.60.20.550.80.51.01.60.10.20.30.31
79931413117922711.43.31.23.438.50.72.119.30.60.969.20.31.21.50.60.50.10.71
79945460117936522.26.92.86.940.50.51.536.60.81.162.60.21.01.12.80.60.11.30
7995299611794329.21.80.71.840.3-0.1-0.223.10.40.665.70.31.81.90.50.30.20.41
79961167911795546.01.80.71.448.70.10.13.10.20.470.11.01.12.00.10.00.30.31
79975537117968528.210.74.09.045.10.20.623.62.83.969.71.02.13.13.41.20.21.81
7998129211797397.72.51.02.340.1-0.3-0.513.30.60.774.30.40.60.90.20.30.30.51
79992900117984919.24.81.75.132.60.72.441.30.81.370.10.11.11.23.50.9-0.31.41